Methods and systems for calibrating a dimensioner

ABSTRACT

Various embodiments provide for a method for calibrating a dimensioner. An example method includes receiving two or more previously captured images of a common field of view of the dimensioner, and identifying at least one static object in the common field of view. The method further includes determining one or more reference dimensions of the at least one static object. Thereafter, the method includes detecting an event on the dimensioner, and when an event is detected, determining one or more updated dimensions of the at least one static object. The method includes comparing the one or more updated dimensions to the one or more reference dimensions to determine whether the one or more updated dimensions satisfy a predefined dimension error range. When the one or more updated dimensions fail to satisfy the predefined dimension error range, the method includes modifying one or more parameters associated with the dimensioner.

TECHNOLOGICAL FIELD

Exemplary embodiments of the present disclosure relate generally todimensioning systems and, more particularly, to methods and systems forcalibrating a dimensioner.

BACKGROUND

Conventional dimensioners and associated dimensioning systems mayinclude elements such as projectors and image capturing devices thatoperate to determine one or more dimensions of an object. These systemsmay operate to capture images of an object (e.g., via visible light,infra-red (IR) spectrum, or the like) and determine one or moredimensions of the object via a correlation between projected lightpatterns and captured images. Dimensioning systems may also requirecalibration in order to ensure that the determined dimensions accuratelycorrespond to a targeted object. Over time, a correlation betweenprojected light patterns and captured images may change due to extrinsicfactors (e.g., temperature variations, repositioning of the dimensioner,etc.) resulting in incorrect determinations of the one or moredimensions of the object.

Applicant has identified a number of deficiencies and problemsassociated with conventional dimensioning systems. Through appliedeffort, ingenuity, and innovation, many of these identified problemshave been solved by developing solutions that are included inembodiments of the present disclosure, many examples of which aredescribed in detail herein.

BRIEF SUMMARY

Various embodiments illustrated herein disclose a method for calibratinga dimensioner. The method includes receiving, by a processor, two ormore previously captured images of a common field of view of thedimensioner. The method further includes identifying, by the processor,at least one static object in the common field of view. The at least onestatic object is common to each of the two or more previously capturedimages. Further, the at least one static object is located at a fixedposition in each of the two or more previously captured images. In someexamples, the method further includes determining, by the processor, oneor more reference dimensions of the at least one static object based onthe two or more previously captured images. Furthermore, the methodincludes detecting, by the processor, an event on the dimensioner. In aninstance in which the event is detected, determining, by the processor,one or more updated dimensions of the at least one static object.Additionally, the method includes comparing, by the processor, the oneor more updated dimensions to the one or more reference dimensions todetermine whether the one or more updated dimensions satisfy apredefined dimension error range. In an instance in which the one ormore updated dimensions fail to satisfy the predefined dimension errorrange, modifying, by the processor, one or more parameters associatedwith the dimensioner.

In some example embodiments, the method further comprising iterativelymodifying, by the processor, the one or more parameters of thedimensioner and iteratively determining, by the processor, the one ormore updated dimensions of the at least one static object based on theone or more modified parameters, until the one or more updateddimensions of the at least one static object satisfy the predefineddimension error range.

Various embodiments illustrated herein disclose a dimensioner comprisinga first image capturing device configured to capture a first currentimage of a common field of view of the dimensioner. Further, thedimensioner includes a second image capturing device configured tocapture another current image of the common field of view of thedimensioner (e.g., a second current image). Additionally, thedimensioner includes a projector configured to project a pattern oflight in the common field of view of the dimensioner. The second currentimage of the field of view of the second image capturing device iscaptured based on the projected pattern. Furthermore, the dimensionerincludes a processor communicatively coupler with the first imagecapturing device and the second image capturing device. The processor isconfigured to receive two or more previously captured images of thecommon field of view. The processor is further configured to identify atleast one static object in the common field of view of the first imagecapturing device. The at least one static object is common to each ofthe two or more previously captured images, and wherein the at least onestatic object is located at a fixed position in each of the two or morepreviously captured images. Furthermore, the processor is configured todetermine one or more reference dimensions of the at least one staticobject based on the two or more previously captured images. In someexamples, the processor is configured to detect an event on thedimensioner. In an instance in which the event is detected, theprocessor is configured to determine one or more updated dimensions ofthe at least one static object. Furthermore, the processor is configuredto compare the one or more updated dimensions to the one or morereference dimensions to determine whether the one or more updateddimensions satisfy a predefined dimension error range. In an instance inwhich the one or more updated dimensions fail to satisfy the predefineddimension error range, the processor modifies one or more parametersassociated with the dimensioner.

BRIEF DESCRIPTION OF THE DRAWINGS

The description of the illustrative embodiments may be read inconjunction with the accompanying figures. It will be appreciated thatfor simplicity and clarity of illustration, elements illustrated in thefigures may not necessarily been drawn to scale. For example, the one ormore dimensions of some of the elements may exaggerated relative toother elements. Embodiments incorporating teachings of the presentdisclosure are shown and described with respect to the figures presentedherein, in which:

FIG. 1 illustrates an exemplary material handling environment, accordingto one or more embodiments described herein;

FIG. 2 illustrates a block diagram of a computing device, according toone or more embodiments described herein;

FIG. 3 illustrates a flowchart of a method for operating a dimensioner,according to one or more embodiments described herein;

FIG. 4 illustrates a flowchart of a method for operating a dimensionerin a calibration mode, according to one or more embodiments describedherein;

FIG. 5 illustrates a calibration of a dimensioner, according to one ormore embodiments described herein;

FIG. 6 illustrates a flowchart for operating a dimensioner in anoperation mode, according to one or more embodiments described herein;

FIG. 7 illustrates a flowchart for determining one or more dimensions ofan object, according to one or more embodiments described herein;

FIG. 8 illustrates a ray diagram depicting determination of a depth of adot, according to one or more embodiments described herein;

FIG. 9 illustrates a flowchart of a method for detecting an event on adimensioner, according to one or more embodiments described herein;

FIG. 10 illustrates a flowchart of a method for operating a dimensionerin a self-calibration mode, according to one or more embodimentsdescribed herein;

FIG. 11 illustrates a flowchart of a method for self-calibrating adimensioner, according to one or more embodiments described herein;

FIG. 12 illustrates a flowchart of another method for self-calibrating adimensioner, according to one or more embodiments described herein; and

FIG. 13 illustrates a block diagram of a dimensioner, according to oneor more embodiments described herein.

DETAILED DESCRIPTION

Some embodiments of the present disclosure will now be described morefully hereinafter with reference to the accompanying drawings, in whichsome, but not all embodiments of the disclosure are shown. Indeed, thesedisclosures may be embodied in many different forms and should not beconstrued as limited to the embodiments set forth herein; rather, theseembodiments are provided so that this disclosure will satisfy applicablelegal requirements. Like numbers refer to like elements throughout.Terminology used in this patent is not meant to be limiting insofar asdevices described herein, or portions thereof, may be attached orutilized in other orientations.

The term “comprising” means including but not limited to, and should beinterpreted in the manner it is typically used in the patent context.Use of broader terms such as comprises, includes, and having should beunderstood to provide support for narrower terms such as consisting of,consisting essentially of, and comprised substantially of.

The phrases “in one embodiment,” “according to one embodiment,” and thelike generally mean that the particular feature, structure, orcharacteristic following the phrase may be included in at least oneembodiment of the present disclosure, and may be included in more thanone embodiment of the present disclosure (importantly, such phrases donot necessarily refer to the same embodiment).

The term “exemplary” is used herein to mean “serving as an example,instance, or illustration.” Any implementation described herein as“exemplary” is not necessarily to be construed as preferred oradvantageous over other implementations.

If the specification states a component or feature “may,” “can,”“could,” “should,” “would,” “preferably,” “possibly,” “typically,”“optionally,” “for example,” “often,” or “might” (or other suchlanguage) be included or have a characteristic, that particularcomponent or feature is not required to be included or to have thecharacteristic. Such component or feature may be optionally included insome embodiments, or it may be excluded.

The term “image” as used herein may correspond to a representation of aninformation/data in the form of plurality of pixels in an image planethat may be either a 2-dimensional plane or a 3-dimensional plane. Insome examples, the image may represent information/data of a scene whereeach pixel in the plurality of pixels may, for example, represent apoint in the scene. Furthermore, each pixel in the plurality of pixelsmay include and associated color information and intensity information.Color information may be represented in form of one or more colorschemes such as, but not limited to, RGB color scheme, CMYK colorscheme, monochrome color scheme, grayscale color scheme, and/or thelike. In some example embodiments, the intensity information may berepresentative of a brightness associated with each pixel. In someexample embodiments, the pixel may further include depth informationthat may correspond to a distance of the point, represented by thepixel, from an image capturing device that captured the image. In anexample embodiment, the image may be encoded and represented in one ormore formats such as JPEG, Bitmap, PNG, RAW, and/or the like.

The term “object” as used herein may correspond to a physical item,element, device, or the like that present in a scene that is captured byan image capturing device such as a camera. For example, a warehouse ora retail outlet (e.g., a scene) may include objects, parcels, cartons,shipping containers, and/or the like. In some examples, the object maybe a static object or a dynamic object. The static object in a scene maycorrespond to an object which remains substantially stationary over aperiod of time. For example, static objects in a warehouse may includestructural support elements, such as pillars, walls, and/or the like ofthe warehouse. A dynamic object may correspond to an object with alocation in the warehouse that is not fixed. For example, the locationof one or more parcels in warehouse may not be fixed, as the one or moreparcels may be shipped-in, shipped-out, or otherwise moved in thewarehouse (e.g., scene).

The terms “one or more dimensions” as used herein may correspond to anymeasurement indicative of a size of an object. For example, the one ormore dimensions of a cuboidal parcel in a warehouse environment (e.g.,scene) may include a measurement of a height of the parcel, a length ofthe parcel, and/or a width of the parcel. In some example embodiments,the one or more dimensions of an object having an irregular shape may bedefined as a measurement of a size of a virtual cuboidal box thatencompasses the irregular object (e.g., a length, width, and height ofthe virtual cuboid).

A dimensioner of the present disclosure may include a projector, a firstimage capturing device, and a second image capturing device. Theprojector and the second image capturing device may operate in the samelight spectrum range (e.g., the infra-red IR light spectrum range). Theprojector may be configured to project structured light in a commonfield of view of the projector and the second image capturing device.Thereafter, the second image capturing device may be configured tocapture an image of the projected structured light. Based on the image,the dimensioner may be configured to determine one or more dimensions ofvarious objects in the common field of view. The dimensioner maydetermine the one or more dimensions based on one or more parameters ofthe dimensioner such as, but not limited to, a correlation between theprojector and the second image capturing device. In an exampleembodiment, the dimensioner may be configured to determine the one ormore parameters prior to determining the dimensions of the object.Further, the dimensioner may determine the one or more parameters duringa calibration of the dimensioner. In an example embodiment, the one ormore parameters may include, but are not limited to, a correlationbetween the projector and the second image capturing device, the focallength of the second image capturing device, the focal length of thefirst image capturing device, and/or the focal length of the projector.

Due to various extrinsic factors such as an ambient temperature of thedimensioner, movement of the dimensioner, or the like, the dimensionermay become out of calibration. In an example embodiment, the dimensionermay be configured to identify an instance in which it is out ofcalibration. For example, the dimensioner may receive two or morepreviously captured images of the field of view. From the two or morepreviously captured images, the dimensioner may be configured todetermine at least one static object in the two or more previouslycaptured images. Further, based on the two or more previously capturedimages, the dimensioner may determine reference dimensions of the atleast one static object.

Further, the dimensioner may be configured to capture a first currentimage and a second current image using the first image capturing deviceand the second image capturing device, respectively. Based on the firstcurrent image and the second current image, the dimensioner may beconfigured to determine one or more updated dimensions of the at leastone static object. Thereafter, the dimensioner may be configured tocompare the one or more updated dimensions with the reference dimensionsof the at least one static object to determine an error in the one ormore updated dimensions. The dimensioner may determine whether the erroris within a predefined dimension error range. If the determined error isnot in the predefined dimension error range, the dimensioner maydetermine that the dimensioner is out of calibration. If the dimensionerdetermines that the determined error is within the predefined dimensionerror range, however, the dimensioner may determine that the calibrationof the dimensioner remains intact.

In an instance in which the dimensioner determines that it is outcalibration, the dimensioner may modify the one or more parameters. Forexample, the dimensioner may modify the correlation between theprojector and the second image capturing device. Thereafter, thedimensioner may again (e.g., iteratively) determine the one or moreupdated dimensions of the at least one static object to determinewhether the one or more updated dimensions of the at least one staticobject satisfy the predefined dimension error range. In some examples,the aforementioned process of modifying the one or more parameters andthe determination of the one or more updated dimensions is repeated(e.g., iteratively) until the error in the one or more updateddimensions is within the predefined dimension error range (e.g., or zeroindicating no error present). This automatic calibration (e.g., withoutany manual intervention) may improve the overall productivity ofoperations within a warehouse environment.

FIG. 1 illustrates an exemplary material handling environment 100,according to one or more embodiments described herein. The materialhandling environment 100 may refer to environments related to, but notlimited to, manufacturing of the items, inventory storage of the items,packing and unpacking of the items, preparing customer orders, recordingitems related information based on scanning and identification of theitems, and shipment processing (including shipping and logisticsdistribution of the items). In such environments, many workers performdifferent operations that may involve handling of items during variousphases (including, but not limited to, accumulation, sortation, scanningand identification, packing, and shipment preparation etc.), of anoverall operation cycle of the material handling environment 100. Forexample, the workers may be involved in manual packing and unpacking ofthe items while preparing customer orders for shipping. In anotherexample, the workers may handle placing of the items in an accumulationzone of a conveyor system for automated packing of the items. In someenvironments, workers may use electronic devices like personal digitalassistants (PDAs) or mobile devices connected to a headset and a serverto receive automated or voice directed instructions for performingvarious operations including scanning and identification of labels(e.g., barcodes, RFID tags, etc.) affixed on the items for shipmentpreparation. As illustrated in FIG. 1, the material handling environment100 includes a dimensioner 102, a network 130, and a computing device132. The dimensioner 102 and the computing device 132 may becommunicatively coupled with each other through the network 130.

The dimensioner 102 may correspond to an electronic device that may beconfigured to determine one or more dimensions of one or more objects(e.g., the object 116), as is further described in conjunction with FIG.7. In an example embodiment, the dimensioner 102 may include one or moreimage capturing devices such as a first image capturing device 104 and asecond image capturing device 108. Further, the dimensioner 102 mayinclude a projector 106. In an example embodiment, the first imagecapturing device 104, the second image capturing device 108, and theprojector 106 may be positioned in a rig-type housing 110. In an exampleembodiment, the rig-type housing 110 may have a first end portion 112and a second end portion 114. The first end portion 112 and the secondend portion 114 may be spaced apart from each other along a longitudinalaxis A-A′ 115. In some examples, the first image capturing device 104and the second image capturing device 108 are positioned proximate thesecond end portion 114, while the projector 106 is positioned proximatethe first end portion 112. Further, the second image capturing device108 may be positioned between the first image capturing device 104 andthe projector 106. In some embodiments, a distance between the secondimage capturing device 108 and the projector 106 may be greater than adistance between the second image capturing device and the first imagecapturing device 104.

In some examples, the dimensioner 102 may utilize one or more of thefirst image capturing device 104, the second image capturing device 108,and the projector 106 to determine the one or more dimensions of anobject 116, as is further described in conjunction with FIG. 7. In someexamples, to enable the dimensioner 102 to determine the one or moredimensions of the object 116, the dimensioner 102 may be mounted on astand 118 such that a platform 120 is within a field of view of thedimensioner 102. In an example embodiment, the field of view of thedimensioner 102 may correspond to the field of view of one or more ofthe projector 106, the first image capturing device 104, and the secondimage capturing device 108. In some examples, the field of view of thedimensioner 102 may correspond to a common field of view of theprojector 106, the first image capturing device 106, and the secondimage capturing device 108. In some examples, for the dimensioner 102 todetermine the one or more dimensions of the object 108, a human operator(e.g., the operator 122) may place the object 116 on the platform 120.Thereafter, the dimensioner 102 may determine the one or more dimensionsof the object 116.

In addition to the platform 120, the field of view of the dimensioner102 may further include objects, other than the platform 120, which maycorrespond to static objects and/or dynamic objects in the materialhandling environment 100. For example, the field of view of thedimensioner 102 includes the table 124 that may, in some embodiments, bea static object. The operation and the structure of the dimensioner 102is further described in conjunction with FIG. 13.

The first image capturing device 104 in the dimensioner 102 maycorrespond to a camera device that is capable of generating an imagebased on light signals received from the common field of view of thefirst image capturing device 104. In some examples, the first imagecapturing device 104 may be configured to generate the image based onreception of light signals in the visible light spectrum. In an exampleembodiment, the light signal received by the first image capturingdevice 104 may correspond to a light generated by an illumination sourceon the dimensioner 102. In alternate embodiment, the illumination sourcemay be external to the dimensioner 102. In yet another embodiment, theillumination source may be ambient light around the dimensioner 102. Inan example embodiment, the first image capturing device 104 may furtherinclude a lens assembly (not shown) and a sensor assembly (not shown).The lens assembly may include one or more optical components such as oneor more lenses, diffusers, wedges, reflectors or any combinationthereof, for directing the light signal on the sensor assembly. In anexample embodiment, the sensor assembly includes an image sensor, suchas a color or monochrome 1D or 2D CCD, CMOS, NMOS, PMOS, CID or CMDsolid state image sensor, that may be configured to generate the imagebased on the received light signal.

The projector 106 may correspond to an illumination source that may beconfigured to illuminate the one or more objects in the common field ofview. As discussed above, the common field of view of the projector 106may correspond to the field of view for both the first image capturingdevice 104 and the second image capturing device 108 such that theprojector 106 is configured to illuminate the one or more objects withinthe field of view of both the first image capturing device 104 and thesecond image capturing device 108. To illuminate the one or moreobjects, the projector 106 may be configured to project light within thecommon field of view of the projector 106, the first image capturingdevice 104, and the second image capturing device 108. For example, thecommon field of view includes the object 116 and the static object 124,therefore, the projector 106 may project the light on the object 116 andthe static object 124 to illuminate the object 116 and the static object124. In some examples, the projector 106 may include a lens assemblythat may facilitate the projection of the light on the one or moreobjects within the common field of view. The lens assembly may includeone or more optical components such as one or more lenses, diffusers,wedges, reflectors, or any combination thereof that may facilitate theprojection of the light. In some examples, the projector 106 may beconfigured to project a structured light (e.g., structured lightpattern) on the one or more objects within the common field of view. Inan example embodiment, the structured light may correspond to apredetermined light pattern that may be projected on the one or moreobjects within the common field of view. In some examples, the projectedstructured light may correspond to a light signal that is outside thevisible light spectrum. For example, the projected structured light maybe an infra-red (IR) light. Hereinafter the light projected by theprojector 106 may interchangeably referred to as the structured light,structure light pattern, or the like.

In some example embodiments, the second image capturing device 108 mayinclude similar features and elements as the first image capturingdevice 104. For example, the second image capturing device 108 mayinclude a similar lens assembly as the lens assembly of the first imagecapturing device 104. In an example embodiment, the second imagecapturing device 108 may include an image sensor that is configured todetect the structured light (light projected by the projector 106). Insome embodiments, the second image capturing device 108 may beconfigured to detect a reflected portion of the structured light. Thereflected portion of the structured light may correspond to a portion ofthe structured light reflected from the one or more objects within thecommon field of view. Given that the structured light (projected by theprojector 106) is a light signal outside of the visible spectrum, theimage sensor of the second image capturing device 108 may be configuredto detect the light signals in the same (or similar) light spectrum asthat of the structured light. For example, the image sensor in thesecond image capturing device 108 may be configured to detect theInfra-Red (IR) light projected by the projector 106. In an exampleembodiment, the second image capturing device 108 may be configured togenerate another image based on the detected structured light.

In an example embodiment, the first image capturing device 104, thesecond image capturing device 108, and the projector 106, may have afixed focal length. Further, the focal length of each of the first imagecapturing device 104, the second image capturing device 108, and theprojector 106 may be the same. In some other embodiments, one or more ofthe first image capturing device 104, the second image capturing device108, and the projector 106 may have a fixed focal length. In otherembodiments, one or more of the first image capturing device 104, thesecond image capturing device 108, and the projector 106 may have avariable focal length that may be modified manually or automatically.

In an example embodiment, the dimensioner 102 may determine the one ormore dimensions of the object 116 based on a first image (captured bythe first image capturing device 104) and a second image (captured bythe second image capturing device 108), as is further described inconjunction with FIG. 7. Additionally or alternately, the dimensioner102 may be configured to transmit the first image and the second imageto a computing device 132, where the computing device 132 may beconfigured to determine the one or more dimensions of the object 116, asis further described in conjunction with FIG. 7.

In some alternative example embodiments, the dimensioner 102 may includea stereo camera assembly instead of the projector 106, the first imagecapturing device 104, and the second image capturing device 108. In suchan alternative embodiment, the stereo camera assembly may include athird image capturing device and a fourth image capturing device thatare positioned in the rig-type housing 110. In some examples, the thirdimage capturing device and the fourth image capturing device may besimilar to the first image capturing device 104. For the purpose ofongoing description, the dimensioner 102, as illustrated in FIG. 1, isreferenced for explaining the various embodiments. However, thoseskilled in the art would appreciate that the disclosed embodiments arealso applicable to other types of dimensioners without departing fromthe scope of the disclosure.

The network 130 may be any means such as a device or circuitry embodiedin either hardware or a combination of hardware and software that isconfigured to receive and/or transmit data from/to various devices ofthe material handling environment 100 (e.g., the dimensioner 102 and thecomputing device 132). In this regard, the network 130 may include, forexample, a network interface for enabling communications with a wired orwireless communication network. For example, the network 130 may includeone or more network interface cards, antennae, buses, switches, routers,modems, and supporting hardware and/or software, or any other devicesuitable for enabling communications via a network. Additionally, oralternatively, the network 130 may include the circuitry for interactingwith the antenna(s) to cause transmission of signals via the antenna(s)or to handle receipt of signals received via the antenna(s). Suchsignals may be transmitted using one or more communication protocols,such as Bluetooth® v1.0 through v3.0, Bluetooth Low Energy (BLE),infrared wireless (e.g., IrDA), ultra-wideband (UWB), induction wirelesstransmission, Wi-Fi, Near Field Communications (NFC), TCP/IP, UDP, 2G,3G, 4G, 5G, Worldwide Interoperability for Microwave Access (WiMAX), orother proximity-based communications protocols.

The computing device 132 may include suitable logic and/or circuitrythat may be configured to control the operation of the dimensioner 102.For example, the computing device 132 may utilize the dimensioner 102 todetermine the one or more dimensions of the object 116, as is describedin FIG. 7. In an example embodiment, the computing device 132 may befurther configured to cause the dimensioner 102 to operate in one ormore modes such as, but not limited to, a calibration mode, aself-calibration mode, and an operation mode. In some examples, thecalibration mode may correspond to a mode in which the dimensioner 102is calibrated manually, as is described later in conjunction with FIG.4. In the self-calibration mode, the computing device 132 may cause thedimensioner 102 to calibrate automatically as is further described inFIG. 11. In an example embodiment, in both the calibration mode and theself-calibration mode, the computing device 132 may be configured todetermine one or more parameters associated with the dimensioner 102 asis described in conjunction with FIG. 4. The one or more parameters ofthe dimensioner 102 may include, a correlation between the projector 106and the second image capturing device 108, the focal length of theprojector 106, the focal length of the first image capturing device 104,and/or the focal length of the second image capturing device 108.Further, in the operation mode, the computing device 132 may utilize thedimensioner 102 to determine the one or more dimensions of the object116, as is described in conjunction with FIG. 7.

As described above, in some embodiments, the computing device 132 may beconfigured to determine the one or more dimensions of the object 116.However, the scope of the disclosure is not limited to the computingdevice 132 determining the one or more dimensions of the object 116. Inalternate embodiments, the dimensioner 102 may directly determine theone or more dimensions of the object 116, without the requirement of thecomputing device 132. For the sake of clarity and consistency ofdescription, the computing device 132 is described hereinafter asconfigured to determine the one or more dimensions of the object 116. Aswould be evidence to one of ordinary skill in the art in light of thepresent disclosure, various functionalities of the computing device 132may also be implemented by the dimensioner 102.

FIG. 2 illustrates a block diagram of the computing device 132,according to one or more embodiments described herein. The computingdevice 132 includes a first processor 202, a first memory device 204, afirst communication interface 206, a first calibration unit 208, a firstcalibration validation unit 210, a first dimensioning unit 212, a firstevent detection unit 214, and a display screen 216.

The first processor 202 may be embodied as one or more microprocessorswith accompanying digital signal processor(s), one or more processor(s)without an accompanying digital signal processor, one or morecoprocessors, one or more multi-core processors, one or morecontrollers, processing circuitry, one or more computers, or variousother processing elements including integrated circuits such as anapplication specific integrated circuit (ASIC), field programmable gatearray (FPGA), or any combination thereof. Accordingly, althoughillustrated in FIG. 2 as a single processor, the processor 202 mayinclude a plurality of processors and/or signal processing modules. Theplurality of processors may be embodied on a single electronic device ormay be distributed across a plurality of electronic devices collectivelyconfigured to function as the circuitry of the computing device 132. Theplurality of processors may be in operative communication with eachother and may be collectively configured to perform one or morefunctionalities of the circuitry of the computing device 132, asdescribed herein. In an example embodiment, the first processor 202 maybe configured to execute instructions stored in a first memory device204 or otherwise accessible to the first processor 202. Theseinstructions, when executed by the first processor 202, may cause thecircuitry of the computing device 132 to perform one or more of thefunctionalities as described herein.

Whether configured by hardware, firmware/software methods, or by acombination thereof, the first processor 202 may include an entitycapable of performing operations according to embodiments of the presentdisclosure while configured accordingly. Thus, for example, when thefirst processor 202 is embodied as an ASIC, FPGA, or the like, the firstprocessor 202 may include specifically configured hardware forconducting one or more operations described herein. Alternatively, asanother example, when the first processor 202 is embodied as an executorof instructions, such as may be stored in the first memory device 204,the instructions may specifically configure the first processor 202 toperform one or more algorithms and operations described herein.

Thus, the first processor 202 used herein may refer to a programmablemicroprocessor, microcomputer, or multiple processor chip(s) that may beconfigured by software instructions (e.g., applications) to perform avariety of functions, including the functions of the various embodimentsdescribed above. In some devices, multiple processors may be provideddedicated to wireless communication functions and one processordedicated to running other applications. Software applications may bestored in the internal memory before they are accessed and loaded intothe processors. The processors may include internal memory sufficient tostore the application software instructions. In many devices, theinternal memory may be a volatile or nonvolatile memory, such as flashmemory, or a mixture of both. The memory can also be located internal toanother computing resource (e.g., enabling computer readableinstructions to be downloaded over the Internet or another wired orwireless connection).

The first memory device 204 may include suitable logic, circuitry,and/or interfaces that are adapted to store a set of instructions thatis executable by the first processor 202 to perform predeterminedoperations. Some of the commonly known memory implementations include,but are not limited to, a hard disk, random access memory, cache memory,read only memory (ROM), erasable programmable read-only memory (EPROM)electrically erasable programmable read-only memory (EEPROM), flashmemory, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, a compact disc read only memory(CD-ROM), digital versatile disc read only memory (DVD-ROM), an opticaldisc, circuitry configured to store information, or some combinationthereof. In an example embodiment, the first memory device 204 may beintegrated with the first processor 202 on a single chip, withoutdeparting from the scope of the disclosure.

The first communication interface 206 may correspond to a communicationinterface that may facilitate transmission and reception of messages anddata to and from the computing device 132. For example, the firstcommunication interface 206 may be communicatively coupled, totransmit/receive data, with the dimensioner 102. Examples of the firstcommunication interface 206 may include, but are not limited to, anantenna, an Ethernet port, a USB port, a serial port, or any other portthat can be adapted to receive and transmit data. The firstcommunication interface 206 transmits and receives data and/or messagesin accordance with the various communication protocols, such as, I2C,TCP/IP, UDP, and 2G, 3G, 4G, or 5G communication protocols.

The first calibration unit 208 may include suitable logic and/orcircuitry for operating the dimensioner 102 in the calibration mode, asis further described in conjunction with FIG. 4. In the calibrationmode, the first calibration unit 208 may be configured to determine ameasure of the one or more parameters associated with the dimensioner102, as is further described in FIG. 4. For example, the firstcalibration unit 208 may be configured to determine the correlationbetween the projector 106 and the second image capturing device 108during the calibration mode. In some examples, where the focal length ofthe first image capturing device 104, the focal length of the projector106, and the focal length of the second image capturing device 108 arenot fixed, the first calibration unit 208 may be configured to determinethe focal length of the projector 106, the focal length of the firstimage capturing device 104, and the focal length of the second imagecapturing device 108, as is further described in FIG. 12. The firstcalibration unit 410 may be implemented using one or more technologies,such as, but not limited to, FPGA, ASIC, and the like.

The first calibration validation unit 210 may include suitable logicand/or circuitry to determine whether the dimensioner 102 (i.e., themeasure of the one or more parameters) is out of calibration, as isfurther described in conjunction with FIG. 10. The first calibrationvalidation unit 210 may be implemented using one or more technologies,such as, but not limited to, FPGA, ASIC, and the like.

The first dimensioning unit 212 may include suitable logic and/orcircuitry to determine the one or more dimensions of an object (e.g.,the object 116), as is further described in FIG. 7. For example, todetermine the one or more dimensions of the object 116, the firstdimensioning unit 212 may cause the dimensioner 102 to capture an imageof the object 116 using the first image capturing device 104. Further,the first dimensioning unit 212 may cause the dimensioner 102 to captureanother image of the object 116 using the second image capturing device108. Thereafter, based on the first image, the second image, and the oneor more parameters associated with the dimensioner 102, the firstdimensioning unit 212 may determine the one or more dimensions of theobject 116. The first dimensioning unit 212 may be implemented using oneor more technologies, such as, but not limited to, FPGA, ASIC, and thelike.

The first event detection unit 214 may include suitable logic and/orcircuitry to detect an event on the dimensioner 102, as is furtherdescribed in conjunction with FIG. 9. In an example embodiment, theevent may correspond to at least one of elapsing of a firstpredetermined time period, initiating the determination of the one ormore dimensions of an object (e.g., the object 116), or powering on thedimensioner 102. The first event detection unit 214 may be implementedusing one or more technologies, such as, but not limited to, FPGA, ASIC,and the like.

The display screen 216 may include suitable logic, circuitry,interfaces, and/or code that may be operable to render a display. In anexample embodiment, the display screen 216 may be realized throughseveral known technologies such as, Cathode Ray Tube (CRT) baseddisplay, Liquid Crystal Display (LCD), Light Emitting Diode (LED) baseddisplay, Organic LED display technology, and/or Retina displaytechnology. In some example embodiments, the display screen 216 may beconfigured to display one or more messages/notifications. In someembodiments, the display screen 216 may include a touch panel, such as acapacitive touch panel, a thermal touch panel, and/or resistive touchpanel, that may enable the worker to provide inputs to the computingdevice 132.

FIGS. 3, 4, 6, 7, and 9-12 illustrate example flowcharts of theoperations performed by an apparatus, such as the dimensioner 102 andthe computing device 132 of FIG. 1 in accordance with exampleembodiments of the present invention. It will be understood that eachblock of the flowcharts, and combinations of blocks in the flowcharts,may be implemented by various means, such as hardware, firmware, one ormore processors, circuitry and/or other devices associated withexecution of software including one or more computer programinstructions. For example, one or more of the procedures described abovemay be embodied by computer program instructions. In this regard, thecomputer program instructions which embody the procedures describedabove may be stored by a memory of an apparatus employing an embodimentof the present invention and executed by a processor in the apparatus.As will be appreciated, any such computer program instructions may beloaded onto a computer or other programmable apparatus (e.g., hardware)to produce a machine, such that the resulting computer or otherprogrammable apparatus provides for implementation of the functionsspecified in the flowcharts' block(s). These computer programinstructions may also be stored in a non-transitory computer-readablestorage memory that may direct a computer or other programmableapparatus to function in a particular manner, such that the instructionsstored in the computer-readable storage memory produce an article ofmanufacture, the execution of which implements the function specified inthe flowcharts' block(s). The computer program instructions may also beloaded onto a computer or other programmable apparatus to cause a seriesof operations to be performed on the computer or other programmableapparatus to produce a computer-implemented process such that theinstructions which execute on the computer or other programmableapparatus provide operations for implementing the functions specified inthe flowcharts' block(s). As such, the operations of FIGS. 3, 4, 6, 7,and 9-12, when executed, convert a computer or processing circuitry intoa particular machine configured to perform an example embodiment of thepresent invention. Accordingly, the operations of FIGS. 3, 4, 6, 7, and9-12 define an algorithm for configuring a computer or processor, toperform an example embodiment. In some cases, a general purpose computermay be provided with an instance of the processor which performs thealgorithm of FIGS. 3, 4, 6, 7, and 9-12 to transform the general purposecomputer into a particular machine configured to perform an exampleembodiment.

Accordingly, blocks of the flowchart support combinations of means forperforming the specified functions and combinations of operations forperforming the specified functions. It will also be understood that oneor more blocks of the flowcharts, and combinations of blocks in theflowchart, can be implemented by special purpose hardware-based computersystems which perform the specified functions, or combinations ofspecial purpose hardware and computer instructions.

FIG. 3 illustrates a flowchart 300 of a method for operating thedimensioner 102, according to one or more embodiments described herein.In some examples, the flowchart 300 may be performed by the computingdevice 132.

At step 302, the computing device 132 includes means such as, the firstprocessor 202, and/or the like, for receiving an input from the operator122 of the dimensioner 102. In an example embodiment, the input maycorrespond to a command or an instruction to operate the dimensioner 102in a mode of the one or more modes. As described above, the one or moremodes may include, but are not limited to, the calibration mode, theself-calibration mode, and the operation mode.

At step 304, the computing device 132 includes means such as, the firstprocessor 202, and/or the like, for determining the mode in which theprocessor 202 may operate the dimensioner 102 based on the receivedcommand. If the processor 202 determines that the received commandcorresponds to operating the dimensioner 202 in the calibration mode,the processor 202 may be configured to perform the step 306.

At step 306, the computing device 132 includes means such as, the firstprocessor 202, and/or the like, for causing the dimensioner 202 tooperate in the calibration mode. The operation of the dimensioner 102 inthe calibration mode is described in conjunction with FIG. 4.

FIG. 4 illustrates a flowchart 400 of a method for operating thedimensioner 102 in the calibration mode, according to one or moreembodiments described herein.

At step 402, the computing device 132 includes means such as, the firstprocessor 202, the display screen 216, the first calibration unit 208,and/or the like, for displaying a notification to the operator 122, onthe display screen 216, requesting that the operator 122 place acalibration board at a predetermined distance from the dimensioner 102.In an example embodiment, the calibration board may correspond to animage, which may be used to calibrate the dimensioner 102. In an exampleembodiment, the predetermined distance may correspond to a distance atwhich the calibration board is located to calibrate the dimensioner 102.In some examples, the predetermined distance may be pre-stored in thedimensioner 102 or in the computing device 132, without departing fromthe scope of the disclosure. To assist the operator 122 in placing thecalibration board at the predetermined distance, the first calibrationunit 202 may cause the first image capturing device 104 to capture avideo stream of the common field of view and cause the dimensioner 102to transmit the captured video stream to the computing device 132. Onreceiving the video stream, the first calibration unit 202 may instructthe display screen 216 to display a frame (such as a rectangular box) onthe display screen 216. Further, the first calibration unit 202 mayinstruct the display screen 216 to overlay the received video stream onthe displayed frame. Given that the operator 122 may place thecalibration board in the common field of view of the dimensioner 102,the video stream captured by the first image capturing device 104 mayinclude the calibration board. Further, when the first calibration unit202 causes the display screen 216 to display the video stream along withthe frame, the video stream displayed on the display screen 216 includesthe calibration board. Any change in the position of the calibrationboard may cause the position of the calibration board in the videostream to change as well.

Thereafter, the first calibration unit 202 may instruct the operator 122(by means of displaying the notification to the operator 122 on thedisplay screen 216) to position the calibration board in such a mannerthat the boundaries of the calibration board in the video stream alignwith the boundaries of the frame displayed on the display screen 216. Insome example embodiments, the size of the frame displayed on the displayscreen 216 may correspond to a scale of an object when the object isplaced at the predetermined distance (at which the dimensioner 102 is tobe calibrated) of the dimensioner 102. Therefore, when the boundaries ofthe calibration board, in the video stream, align with the boundaries ofthe frame, the calibration board is said to be placed at thepredetermined distance from the dimensioner 102.

At step 404, the computing device 132 includes means such as, the firstprocessor 202, the display screen 216, the first calibration unit 208,and/or the like, for determining whether boundaries of the calibrationboard are aligned with the boundaries of the frame (as displayed on thedisplay screen 216). In some examples, the first calibration unit 208may be configured to utilize one or more image processing techniquessuch as edge detection and/or Scale Invariant Feature Transform (SIFT)to determine whether the boundaries of the frame align with theboundaries of the calibration board. For instance, the first calibrationunit 208 may identify edges of the calibration board. Thereafter, thefirst calibration unit 208 may be configured to determine coordinates ofthe edges of the calibration board in the video stream and compare thecoordinates of the edges of the calibration board in the video streamwith the coordinates of the frame displayed in the display screen 216.Based on the comparison, the first calibration unit 208 may determinewhether the boundaries of the calibration board align with theboundaries of the frame. If the first calibration unit 208 determinethat the boundaries of the calibration board are not aligned with theboundaries of the frame, the first calibration unit 202 may beconfigured to repeat the step at 402. If the first calibration unit 208determines that the boundaries of the calibration board are aligned withthe boundaries of the frame, however, the first calibration unit 208 maybe configured to perform the step at 406. The alignment of thecalibration board with the frame is further illustrated in conjunctionwith FIG. 5.

At step 406, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forcausing the projector 106 to project the structured light in the commonfield of view. In an example embodiment, the first calibration unit 208may transmit an instruction to the projector 106 to project thestructured light in the common field of view. As discussed above, thestructured light corresponds to the predetermined light pattern that isformed of one or more features such as, but not limited to, a pluralityof barcode type stripes, a checkered board pattern, a plurality of dots,and/or the like. In an example embodiment, each of the one or morefeatures is uniquely identifiable by the first calibration unit 208. Forexample, the first calibration unit 208 may be configured to uniquelyidentify each dot of the plurality of dots (corresponding to the uniquefeature of the structured light) included in the structured lightprojected by the projector 106 using one or more image processingtechniques (e.g., SIFT). In another example, each dot of the pluralityof dots may be uniquely coded (e.g., a numeral, distance betweenneighboring dots, and/or the like) based on which the first calibrationunit 208 may uniquely identify each dot of the plurality of dots.Further, the first calibration unit 208 knows the coordinates of each ofthe plurality of dots, in a projection plane, projected by the projector106. In an example embodiment, the projection plane corresponds to avirtual image plane that is utilized to define position of contentprojected by a projector (e.g., the projector 106). Further, theprojector plane may be utilized to define the coordinates of thefeatures (e.g., the plurality of dots) of the structured light projectedby the projector 106.

At step 408, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forcausing the second image capturing device 108 to capture a firstcalibration image of the common field of view of the second imagecapturing device 108. In an example embodiment, the first calibrationunit 208 may be configured to transmit an instruction, corresponding tocausing the second image capturing device to capture the firstcalibration image, to the dimensioner 102. On receiving the instruction,the second image capturing device 102 captures the first calibrationimage.

As discussed above, that second image capturing device 108 and theprojector 106 may operate in the same light spectrum (e.g., both thesecond image capturing device 108 and the projector 106 operate in IRlight spectrum), therefore, the second image capturing device 108 maycapture the projected structured light (e.g., projected by the projector106). Therefore, the first calibration image, captured by the secondimage capturing device 108, includes an image of the projected structurelight (e.g., the image of the plurality of dots). After capturing of thefirst calibration image, the first calibration unit 208 may beconfigured to receive the first calibration image from the dimensioner102.

At step 410, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, fordetecting the one or more features of the structured light in the firstcalibration image. In an example embodiment, the first calibration unit208 may be configured to detect the one or more feature (e.g., theplurality of dots) of the structured light based on one or more imageprocessing techniques such as, but not limited to, SIFT.

At step 412 the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, fordetermining coordinates of the one or more detected features in thefirst calibration image. Thereafter, at step 414, the computing device132 includes means such as, the first processor 202, the firstcalibration unit 208, and/or the like, for correlating the coordinatesof the one or more detected feature in the first calibration image withthe coordinates of the corresponding feature in the projection plane. Asdiscussed above, the first calibration unit 208 may uniquely identifythe one or more features of the structured light in the projectionplane, and, therefore, the first calibration unit 208 may map thecoordinates of the one or more detected feature in the first calibrationimage with the coordinates of the corresponding feature in theprojection plane. Table 1 shown below illustrates an example mapping ofthe coordinates of the one or more detected features in the secondcalibration image and the corresponding feature in the projection plane:

TABLE 1 Mapping between the coordinates of the one or more features inthe projection plane and the first calibration image One or moreCoordinates of a feature Coordinates of a feature features in projectionplane in first calibration image Dot -1 (1, 1) (4, 5) Dot -2 (2, 2) (6,3)

For example “dot-1” in structured light has a coordinate (1,1) in theprojection plane, while the “dot-1” has the coordinate (4,5) in thefirst calibration image. Additionally or alternately, the firstcalibration unit 208 may be configured to determine the mapping betweenthe coordinates of the detected feature in the first calibration imagewith the coordinates of the corresponding feature in the projectionplane based on following equation:

$\begin{matrix}{x_{i}^{c} = {x_{i}^{p} + \frac{f\; w}{Z_{0}}}} & (1)\end{matrix}$Where,x_(i) ^(c): Coordinate of a feature in the first calibration image;x_(i) ^(p): Coordinate of corresponding feature in the projection plane;f: focal length of second image capturing device 108;w: distance between the projector 106 and the second image capturingdevice 108; andZ₀: the predetermined distance.

In some example embodiments, other calibration techniques may also beused to calibrate the dimensioner 102. For example, based on thecoordinates of the one or more detected features in the firstcalibration image, the first calibration unit 208 may tune a fundamentalmatrix. In such an example embodiment, the fundamental matrix maycorrespond to a matrix that defines a correlation between thecoordinates of the one or more features in the first calibration imageand the coordinates of the one or more features in the projection plane.

FIG. 5 illustrates an example scenario 500 illustrating the calibrationof the dimensioner 102, according to one or more embodiments describedherein. The example scenario 500 depicts a series of illustrationspredicting various phases of the calibration of the dimensioner 102. Forexample, the illustration 502 depicts that a calibration board 504 isplaced at the predetermined distance Z₀ (e.g., 506) from the dimensioner102. Further, the illustration 502 depicts that the display screen 216of the computing device 132 displays the frame 508 and the image of thecalibration board 504 (e.g., 510). The boundary of the image 510 of thecalibration board 504 aligns with the boundary of the frame 508.

The illustration 512 depicts that the projector 106 projects thestructured light in the common field of view of the dimensioner 102,which includes the calibration board 504. Therefore, from theillustration 512, it can be observed that the structured light isprojected on the calibration board 504. Further, it can be observed thatthe structured light includes the plurality of dots (e.g., 514).

The illustration 516 depicts capturing of the first calibration image(e.g., 518) by the second image capturing device 108. It can be observedthat the first calibration image 518 depicts the structured lightprojected by the projector 106. Further, illustration 516 depicts thecorrelation between the structured light captured in the firstcalibration image 518 and the structured light in the projection plane(e.g., 522). For example, the dot 514 a having coordinates (x₁,y₁) inthe projection plane (e.g., 522) has coordinates (x₂,y₂) in the firstcalibration image. In some examples, the relation between thecoordinates (x₁,y₁) and the coordinates (x₂,y₂) is determined byequation 1.

After the calibration of the dimensioner 102, the operator 122 of thedimensioner 102 may place the object 116 on the platform 120 and maycause the dimensioner 102 to determine the one or more dimensions of theobject 116. For example, after placing the object 116 on the platform120, the operator 122 may provide a command to operate the dimensioner102 in the operation mode. In the operation mode, the computing device132 may use the dimensioner 102 to determine the one or more dimensionsof the object 116, as is further described in the FIG. 6.

Referring back to the 304, if the processor 202 determines that thereceived command corresponds to operating the dimensioner 102 in theoperation mode, the first processor 202 may be configured to perform thestep 308. At step 308, the computing device 132 includes means such as,the first processor 202, the first dimensioning unit 208, and/or thelike, for causing the dimensioner 102 to operate in the operation mode,as is further described in conjunction with FIG. 6.

FIG. 6 illustrates a flowchart 600 for operating the dimensioner 102 inthe operation mode, according to one or more embodiments describedherein. At step 602, the computing device 132 includes means such as,the first processor 202, the first dimensioning unit 212, and/or thelike, for causing the projector 106 to project the structured light inthe common field of view of the dimensioner 102. Since the platform 120is within the common field of view (i.e., also the field of theprojector 106) of the dimensioner 102, the projector 106 projects thestructured light on the platform 120. As discussed above, prior toproviding the command to operate the dimensioner 102 in the operationmode, the operator 122 may have placed the object 116 on the platform120. Therefore, when the projector 106 projects the structured light inthe common field of view, which includes the platform 120, thestructured light is also projected on the object 116.

At step 604, the computing device 132 includes means such as, the firstprocessor 202, the first dimensioning unit 208, and/or the like, forcausing the first image capturing device 104 to capture a first image ofthe common field of view of the dimensioner 102. In an exampleembodiment, since the first image capturing device 104, the second imagecapturing device 108, and the projector 106 have a common field of viewand the common field of view includes the object 116 placed on theplatform 120, when the first image capturing device 104 captures thefirst image of the common field of view, the first image includes theobject 116. In some example embodiments, the first image may furtherinclude other objects that are present in the common field of view. Forexample, the first image may include the image of the table 124 (i.e.,the at least one static object). In an example embodiment, the firstdimensioning unit 208 may be configured to store the first image in thefirst memory device 204.

At step 606, the computing device 132 includes means such as, the firstprocessor 202, the first dimensioning unit 208, and/or the like, forcausing the second image capturing device 108 to capture a second imageof the common field of view. As discussed, in some example embodiments,the second image capturing device 108 and the projector 106 operate inthe same light spectrum, therefore, the second image capturing device108 is capable of capturing the structured light, projected by theprojector 106 z on the object 116 (e.g., on the platform 120). Forexample, the second image captured by the second image capturing device108 may illustrate the plurality of dots (i.e., the structured light).

At step 608, the computing device 132 includes means such as, the firstprocessor 202, the first dimensioning unit 208, and/or the like, fordetermining the one or more dimensions of the object 116 based on thefirst image, the second image, and the one or more parameters associatedwith the dimensioner 102. The determination of the one or moredimensions of the object 116 is further described in conjunction withFIG. 7.

FIG. 7 illustrates a flowchart 700 for determining the one or moredimensions of the object 116, according to one or more embodimentsdescribed herein. At step 702, the computing device 132 includes meanssuch as, the first processor 202, the first dimensioning unit 208,and/or the like, for determining a shape of the object 116. In anexample embodiment, the first dimensioning unit 212 may be configured toutilize one or more image processing techniques such as, edge detectionand/or SIFT, to determine the shape of the object 116. For example, thefirst dimensioning unit 208 may be configured to identify the edges ofthe object 116 in the first image (i.e., captured by the first imagecapturing device 104). Thereafter, the first dimensioning unit 208 maybe configured to determine one or more features of the object 116 basedon the detected edges of the object 116. In some examples, the one ormore features of the object 116 may include, but are not limited to,corners of the object 116, edges of the object 116, and/or the like.Subsequently, based on the one or more features of the object 116, thefirst dimensioning unit 208 may be configured to determine the shape ofthe object (e.g., by comparing the one or more determined features ofthe object 116 with features of known shapes).

After determining the shape of the object 116 using the first image, thefirst dimensioning unit 208 may be configured to identify a set of dotsof the plurality of dots in the second image, (e.g., projected as thestructured light by the projector 106) that is encompassed by thedetermined shape of the object 116. For example, the set of dots may bepositioned in the second image such that the set of dots may beindicative of the shape of the object 116.

At step 704, the computing device 132 includes means such as, the firstprocessor 202, the first dimensioning unit 212, and/or the like, fordetermining a depth of the set of the dots in the second image. Todetermine the depth of the set of the dots, the first dimensioning unit212 may be configured to identify each dot in the set of dots. Asdiscussed above, the computing device 132 may uniquely identify each dotin the plurality of dots (e.g., based on unique codes assigned to eachdot of the plurality of dots), such that the first dimensioning unit 212may identify each dot in the set of dots (corresponding to the object116) based on their respective unique codes. Further, the firstdimensioning unit 212 may be configured to determine the coordinates ofthe set of dots in the second image. Thereafter, the first dimensioningunit 212 may be configured to determine a disparity in the coordinatesof the set of dots in the second image from the coordinates of the setof dots in the first calibration image (captured by the second imagecapturing device 108 during calibration operation). In an exampleembodiment, the disparity in the coordinates of a dot corresponds to ameasure of a change in the coordinates of the dot from the coordinatesin the first calibration image. In some examples, when the object 116 isplaced on the platform 120, the set of dots (corresponding to the dotsthat are projected on the object 116) is incident on the object 116instead of the platform 120. Therefore, the position of the set of dotsin the second image will change from the position of the set of dots inthe second calibration image (in which no object is present in thecommon field of view).

Based on the measure of disparity, the first dimensioning unit 212 maydetermine the depth of the dot from the dimensioner 102 using thefollowing equation:

$\begin{matrix}{Z_{i} = {\frac{f\; w}{\frac{f\; w}{Z_{0}}} + d_{i}}} & (2)\end{matrix}$Where,Z_(i): Depth of the dot i; andd_(i): Disparity measure of the dot i.The determination of the depth of the dot i has is illustrated in FIG.8.

FIG. 8 illustrates a ray diagram 800 depicting the determination of thedepth of the dot, according to one or more embodiments described herein.The ray diagram 800 illustrates the projection of the dot (e.g., 514 a)on the projection plane 522 by a light ray 802 projected by theprojector 106. During the calibration of the dimensioner 102, the lightray is reflected from the calibration board 504, which is positioned atthe predetermined distance Z₀ (e.g., 806). The reflected light ray isreceived by the second image capturing device 108. Based on thereception of the reflected light ray, the second image capturing device108 generates the first calibration image in which the dot 514 a has acoordinate (x2, y2).

When the object 116 placed on the platform 120, the distance of theobject 116 from the dimensioner 102 is less than the predetermineddistance Z₀ (e.g., 806). Therefore, the light ray 802 corresponding tothe dot 514 a is reflected from the surface of the object 116, which isat a distance Z₁ (e.g., 808), from the dimensioner 102. Due the changein the position of the reflection point of the light ray 802corresponding to the dot 514 a, the coordinates of the dot 514 a in thesecond image (captured during operation mode) changes to (x3,y3) fromthe coordinates (x2,y2). The distance between the coordinates (x3,y3) inthe second image and the coordinates (x2,y2) in the first calibrationimage corresponds to the disparity measure (e.g., 804). Thereafter, thefirst dimensioning unit 212 determines the distance Z₁ (e.g., 808) basedon the disparity measure using the equation 2.

After determining the depth of the set of dots in the second image, atstep 706, the computing device 132 includes means such as, the firstprocessor 202, the first dimensioning unit 212, and/or the like, fordetermining the one or more dimensions of the object 116 based on thedetermined depth of the set of dots. In an example embodiment, the firstdimensioning unit 212 may utilize one or more mathematical andgeometrical formulations to determine the one or more dimensions of theobject 116. For example, the first dimensioning unit 212 may subtractthe determined depth of two dots, in the set of dots that are positionedalong a z-axis of the object 116, to determine a width of the object.Similarly, the first dimensioning unit 212 may determine one or moreother dimensions of the object 116.

In some example embodiments, the scope of the disclosure is not limitedto determining the one or more dimensions based on the method describedin the flowchart 700. In an alternate embodiment, the processor 202 maydetermine the one or more dimensions of the object 116 based on avariation in intensity of the pixels in the first image. In someexamples, the intensity of the pixels may vary based on a depth of thecorresponding point (represented by the pixel) from the dimensioner 102.Therefore, based on the variation of the intensity of the pixel, thefirst dimensioning unit 212 may be configured to determine the depth ofthe object 116 from the dimensioner 102. Accordingly, based on thedepth, the dimensioner 102 may be configured to determine the one ormore dimensions of the objects 116. After determining the one or moredimensions of the object 116, the dimensioner 102 may be configured totransmit the one or more dimensions to the computing device 132.

Referring back to the FIG. 6, at step 609, the computing device 132includes means such as, the first processor 202, the first dimensioningunit 212, and/or the like, for displaying the one or more dimensions ofthe object 116 on the display screen 216. Further, at step 610, thecomputing device 132 includes means such as, the first processor 202,the first dimensioning unit 212, and/or the like, for storing the firstimage and the second image in the first memory device 204 as previouslycaptured images.

Referring back to FIG. 3, at step 304, if the processor 202 determinesthat no command is received from the operator 122 of the dimensioner102, the processor 202 may be configured to perform the step 310. Atstep 310, the computing device 132 includes means such as, the firstprocessor 202, the event detection unit 214, and/or the like, fordetermining whether an event is detected on the dimensioner 102. Thedetection of the event on the dimensioner 102 is further described inconjunction with FIG. 9.

FIG. 9 illustrates a flowchart 900 of a method for detecting an event onthe dimensioner 102, according to one or more embodiments describedherein. At step 902, the computing device 132 includes means such as,the first processor 202, the event detection unit 214, and/or the like,for determining whether a state of the dimensioner 102 has changed. Inan example embodiment, the state of the dimensioner 102 may correspondto powering (e.g., switching, turning, etc.) the dimensioner ON orpowering (e.g., switching, turning, etc.) the dimensioner OFF. In someexamples, the event detection unit 214 may receive the state informationfrom the dimensioner 102 through the network 130. If the event detectionunit 214 determines that the state of the dimensioner 102 has changed,the event detection unit 214 may be configured to perform the step at904. At step 904, the computing device 132 includes means such as, thefirst processor 202, the event detection unit 214, and/or the like, fordetermining that the event has been performed on the dimensioner 102.Thereafter, the event detection unit 214 may be configured to performthe step 310.

However, if the event detection unit 214, at step 902, determines thatno state of the dimensioner 102 has changed, the event detection unit214 may be configured to perform the step 906. At step 906, thecomputing device 132 includes means such as, the first processor 202,the event detection unit 214, and/or the like, for determining whetherthe dimensioner 102 is operating in the ON state and whether a firstpredetermined time period has elapsed. In an example embodiment, thefirst predetermined time period may correspond to a time period elapsedsince the dimensioner 102 operated in the calibration mode or in theself-calibration mode. If the event detection unit 214 determines thatthe first predetermined time period has elapsed, the event detectionunit 214 may be configured to perform the step 904. If the eventdetection unit 214 determines that the first predetermined time periodhas not elapsed, the event detection unit 214 may be configured toperform the step 310.

In some example embodiments, the scope of the disclosure is not limitedto the events detected in the flowchart 900. Additionally oralternately, the event may correspond to reception of the command tooperate the dimensioner 102 in the operation mode 102. In such anexample embodiment, the event detection unit 214 may be configured todetermine that the event has been performed on the dimensioner 102.

Referring back to the step 310, if the event detection unit 214determines that the event has been detected, the processor 202 may beconfigured to perform the step 312. However, if the event detection unit214 determines that the event has not been detected, the processor 202may be configured to repeat the step 302.

At step 312, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forcausing the dimensioner to operate in the self-calibration mode. Theoperation of the dimensioner 102 in the self-calibration mode isdescribed in conjunction with FIG. 10.

FIG. 10 illustrates a flowchart 1000 of a method for operating thedimensioner 102 in the self-calibration mode, according to one or moreembodiments described herein. At step 1002, the computing device 132includes means such as, the first processor 202, the first calibrationunit 208, and/or the like, for retrieving two or more previouslycaptured images of the common field of view. As discussed above, duringthe operation of the dimensioner 102 in the operation mode, the firstimage and the second image captured by the first image capturing device104 and the second image capturing device 108, respectively, are storedin the first memory device 204 as the previously captured images.Accordingly, at step 1002, the first calibration unit 208 may beconfigured to retrieve two or more previously captured images from thefirst memory device 204.

At step 1004, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, foridentifying at least one static object in the two or more previouslycaptured images. In an example embodiment, to identify the at least onestatic object, the first calibration unit 208 may be configured tosubtract the two or more previously captured images amongst each otherin order to generate a subtracted image. The subtracted image may onlyinclude dynamic objects. As discussed above, the dynamic objectscorrespond to objects that may change their respective locations withtime (e.g., operator 122). Thereafter, using the subtracted image andthe two or more previously captured images, the first calibration unit208 may be configured to identify the at least one static object. Forinstance, from the subtracted image the first calibration unit 208 maybe configured to determine the location of the dynamic objects in thetwo or more previously captured images. Thereafter, the firstcalibration unit 208 may be configured to remove the dynamic objectsfrom the two or more previously captured images based on the location ofthe dynamic objects. After the removal of the dynamic objects, the twoor more previously captured images may include the at least one staticobject (e.g., the table 124).

At step 1006, the computing device 132 includes means such as, the firstprocessor 202, the first dimensioning unit 212, and/or the like, fordetermining the one or more dimensions of the at least one static object(e.g., the table 124). In an example embodiment, the first dimensioningunit 212 may be configured to determine the one or more dimensions ofthe at least one static object (e.g., the table 124) based on the two ormore previously captured images using the methodology described in theflowchart 700. Further, the first dimensioning unit 212 may beconfigured to store the one or more determined dimensions of the atleast one static object (e.g., the table 124) in the first memory device204 as the one or more reference dimensions.

At step 1008, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forcausing the dimensioner 102 to capture a first current image and asecond current image of the at least one static object (e.g., the table124) using the first image capturing device 104 and the second imagecapturing device 108, respectively. Thereafter, at step 1010, thecomputing device 132 includes means such as, the first processor 202,the first calibration unit 208, and/or the like, for comparing the firstcurrent image and the second current image with the two or morepreviously captured images to determine whether the at least one staticobject (e.g., the table 124) is present in the common field of view ofthe dimensioner 102. In an example embodiment, the first calibrationunit 208 may be configured to subtract the first current image from thetwo or more previously captured images to generate another subtractedimage. Thereafter, the first calibration unit 208 determines whether theother subtracted image includes the at least one static object (e.g.,the table 124). If the first calibration unit 208 determines that the atleast one static object (e.g., the table 124) is present in the othersubtracted image, the first calibration unit 208 may determine that theat least one static object (e.g., the table 124) is not present in thefirst current image. Accordingly, the first calibration unit 208 may beconfigured to perform the step 1020. However, if the first calibrationunit 208 determines that the other subtracted image does not include theat least one static object (e.g., the table 124), the first calibrationunit 208 determines that the at least one static object is present inthe first current image and the second current image. Accordingly, thefirst calibration unit 208 may be configured to perform the step 1012.

At step 1012, the computing device 132 includes means such as, the firstprocessor 202, the first dimensioning unit 212, and/or the like, fordetermining one or more updated dimensions of the at least one staticobject (e.g., the table 124) using the methodologies described in theflowchart 700.

At step 1014, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forcomparing the one or more updated dimensions of the at least one staticobject (e.g., the table 124), determined in the step 1012, with the oneor more reference dimensions (determined in the step 1006) of the atleast one static object to determine an error in the one or more updateddimensions. By way of example, the reference length (i.e., the referenceone or more dimensions) of the at least one static object may be 10 mm.Further, the updated length (i.e., the one or more updated dimensions)of the at least one static object may 13 mm. In such an example, thefirst calibration unit 208 may determine the error as 3 mm.

At step 1016, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, fordetermining whether the determined error in the one or more updateddimensions satisfy a predefined dimension error range. For example, thefirst calibration unit 208 determines whether the determined error iswithin the predefined dimension error range. For example, if thepredefined dimension error range is 0 mm-1 mm and the determined errorin the one or more updated dimensions is 3 mm, the first calibrationunit 208 may determine that the one or more updated dimensions of the atleast one static object (e.g., the table 124) does not satisfy thepredefined dimension error range. Accordingly, if the first calibrationunit 208 determines that the determined error does not satisfy thepredefined dimension error range, the first calibration unit 208 may beconfigured to perform the step 1018. If the first calibration unit 208determines that the determined error satisfy the predefined dimensionerror range, the first calibration unit 208 may configured to repeat thestep 302.

In some examples, if the first calibration unit 208 determines that thedetermined error does not satisfy the predefined dimension error range,the first calibration unit 208 may determine that the dimensioner 102 isout of calibration. Said differently, the one or more parametersdetermined during the calibration of the dimensioner 102 may no longerbe utilized to determine the one or more dimensions of the object 116.In some example embodiments, the one or more dimensions of the object116 determined using the one or more outdated parameters may result inthe determination of incorrect dimensions of the object 116.

In some examples, the dimensioner 102 may be out of calibration due manyreasons such as variation in the ambient temperature around thedimensioner 102. As discussed above, the projector 106 and the secondimage capturing device 108 may operate in the IR light spectrum.Therefore, any change in the temperature of the ambient temperature ofthe dimensioner 102 may modify the structured light projected by theprojector 106 and/or the reflected structured light detected by thesecond image capturing device 108. For instance, the position of theplurality of dots projected by the projector 106 may shift due to achange in the temperature of the ambient temperature of the dimensioner102. The shifting of the plurality of dots may cause a different set ofdots to be projected on the object 116. The projection of different setof dots on the object 116 may cause the first calibration unit 208 todetermine an incorrect depth of the different set of dots, which mayfurther lead to an incorrect determination of the one or more dimensionsof the object 116.

In some examples, the dimensioner 106 may be out of calibration due tovarious other reasons, for example, an orientation of the dimensioner102 may be modified due to a loose coupling of the dimensioner 102 andthe stand 118. In an instance in which the orientation of thedimensioner 102 is modified from a position at which the dimensioner 102was initially calibrated, the plurality of dots projected by theprojector 106 may be shifted based on the change in the orientation ofthe dimensioner 102. The shifting of the plurality of dots may cause thefirst calibration unit 208 to determine an incorrect depth of theplurality of dots, which may further lead to an incorrect determinationof the one or more dimensions of the object 116.

At step 1018, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forcausing the dimensioner 102 to self-calibrate. The self-calibration ofthe dimensioner 102 is described below in conjunction with FIG. 11.

Referring back to the step 1010, if the first calibration unit 208determines that the at least one static object (e.g., the table 124) ispresent in the other subtracted image, the first calibration unit 208may determine that the at least one static object (e.g., the table 124)is not present in the first current image. Accordingly, the firstcalibration unit 208 may determine that either the position of thedimensioner 102 or the orientation of the dimensioner 102 has beenmodified. Consequently, the first calibration unit 208 may be configuredto perform the step 1020.

In some examples, the scope of the disclosure is not limited to thedetermining whether the orientation of the dimensioner 102 is modifiedbased on the other subtracted image. In an alternative embodiment, thedimensioner 102 may include one or more orientation sensors such as agyroscope and/or an accelerometer through which the first calibrationunit 208 may be configured to monitor whether the orientation of thedimensioner 102 has modified. In such an embodiment, the firstcalibration unit 208 may be configured to cause the one or moreorientation sensors to determine a current measure of the orientation ofthe dimensioner 102. Thereafter, the first calibration unit 208 may beconfigured to determine whether the current orientation of thedimensioner 102 has exceeded a predetermined orientation threshold. Inan instance in which the current measure of the orientation exceeds thepredetermined orientation threshold, the first calibration unit 208 maybe configured to determine that the orientation of the dimensioner 102has been modified and may accordingly perform the step 1020.

At step 1020 the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forgenerating a first error notification indicative of the change inorientation/position of the dimensioner 102. In an example embodiment,the first calibration unit 208 may be configured to display the firsterror notification on the display screen 216. In some examples, thefirst error notification may include an instruction for the operator 122to calibrate the dimensioner 102 manually (as is described in theflowchart 400). Thereafter, the processor 202 may be configured torepeat the step 302.

In some examples, the scope of the disclosure is not limited to thegenerating the first error notification when the orientation/position ofthe dimensioner 102 is modified. In an alternative embodiment, when theat least one static object (e.g., table 124) is not present in the firstcurrent image, the first calibration unit 208 may be configured torepeat the steps 1002 and 1004 to identify a new static object.Thereafter, the method described in the flowchart 1000 is repeated.Additionally or alternatively, the first calibration unit 208 may beconfigured to create an error log that may include informationpertaining to either a change in the position or orientation of thedimensioner 102 and/or removal of the at least one static object (e.g.,table 124) from the field of view of the dimensioner 102.

FIG. 11 illustrates a flowchart 1100 of another method forself-calibrating the dimensioner 102, according to one or moreembodiments described herein. At step 1102, the computing device 132includes means such as, the first processor 202, the first calibrationunit 208, and/or the like, for modifying at least one parameter of theone or more parameters. As discussed above, in some example embodiments,the focal length of the first image capturing device 104, the secondimage capturing device 108, and the projector 106 may be same and mayremain constant. Therefore, during self-calibration of the dimensioner102, the first calibration unit 208 may be configured to modify thecorrelation between the second image capturing device 108 and theprojector 106. Further, as discussed above, the correlation between theprojector 106 and the second image capturing device 108 corresponds tothe mapping between the coordinates of the plurality of dots in theprojection plane and the coordinates of the plurality of dots in thefirst calibration image. Further, the correlation is mathematicallydefined by the equation 1, as illustrated above.

As discussed above, when the dimensioner 102 is out of calibration (dueto variations in the temperature of the ambient around the dimensioner102 or change in the orientation of the dimensioner 102), the structuredlight projected by the projector 106 may be shifted (e.g., thecoordinates of the plurality of dots may be shifted in the projectionplane). However, as discussed, the shifting of the structured light isnot reflected in the plurality of dots represented in the firstcalibration image captured and stored during the operation of thedimensioner 102 in the calibration mode. Therefore, to correct thecorrelation between the projector 106 and the second image capturingdevice 108, the first calibration unit 208 may be configured to modifythe coordinates of the plurality of dots in the first calibration image.In an example embodiment, the first calibration unit 208 may beconfigured to modify the coordinates of the plurality of dots based onthe determined error (determined in the step 1014).

For example, the first calibration unit 208 may be configured togenerate a correction value by which the first calibration unit 208 mayshift the coordinates of the plurality of dots in the first calibrationimage. In some examples, the first calibration unit 208 may beconfigured to utilize a proportional, integral, and derivative (PID)controller (in the first calibration unit 208) to determine thecorrection value based on the determined error. In other examples, thefirst calibration unit 208 may utilize a fuzzy controller and/or aneural network based controller to determine the correction value basedon the determined error.

After determining the correction value, the first calibration unit 208may be configured to modify the coordinates of the plurality of dots bythe determined correction value. For instance, the coordinates of thedot in the first calibration image are (1,2) and the determinedcorrection value is 1, the first calibration unit 208 may be configuredto modify the coordinates of the dot to (2,3).

At step 1104, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, fordetermining the one or more updated dimensions of the at least onestatic object (e.g., the table 124) based on the one or more modifiedparameters of the dimensioner 102. In an example embodiment, the firstcalibration unit 208 may be configured to use methodologies described inthe flowchart 700 to determine the one or more updated dimensions of theat least one static object (e.g., the table 124).

At step 1106, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, fordetermining whether a second predetermined time period has elapsed. Inan example embodiment, the second predetermined time period maycorrespond to a time duration for which the first calibration unit 208may cause the dimensioner 102 to recalibrate. If the secondpredetermined time period has not elapsed, the first calibration unit208 may be configured to repeat the step 1014 at which the one or moreupdated dimensions are compared with the one or more referencedimensions to determine the error in the one or more updated dimensions.If the first calibration unit 208 determines that the determined errorsatisfy the predefined dimension error range, the first calibration unit208 may determine that dimensioner 102 has been re-calibrated.Thereafter, the first dimensioning unit 212 may utilize the one or moremodified parameters to determine the one or more dimensions of theobject 116. If the first calibration unit 208 determines that thedetermined error does not satisfy the predefined dimension error range,the first calibration unit 208 may be configured to repeat the flowchart1100 until the determined error in the one or more updated dimensions ofthe at least one static object (e.g., the table 124) is satisfy thepredefined dimension error range or until the second predetermined timeperiod elapses.

If the first calibration unit 208 determines that the secondpredetermined time period has elapsed, the first calibration unit 208may be configured to perform the step 1022. Referring back to FIG. 10,at step 1022, the computing device 132 includes means such as, the firstprocessor 202, the first calibration unit 208, and/or the like, forgenerating a second error notification indicative of a calibrationerror. In an example embodiment, the first calibration unit 208 may beconfigured to display the second error notification on the displayscreen 216. In alternate embodiment, the first calibration unit 208 maybe configured to generate an audio signal corresponding to the seconderror notification. In some examples, the scope of the disclosure is notlimited to only displaying the second error notification on thecomputing device 132. In alternate embodiment, the first calibrationunit 208 may be configured to transmit the second error notification tothe dimensioner 102, where the dimensioner 102 may activate an LED (notshown) on the rig-type housing 110.

In some examples, the scope of the disclosure is not limited to the onlymodifying the correlation between the projector 106 and the second imagecapturing device 108 to re-calibrate the dimensioner 102. In alternateembodiment, the first calibration unit 208 may be configured to modifyother parameters of the one or more parameters to re-calibrate thedimensioner 102. One such method of recalibrating the dimensioner 102 isdescribed in conjunction with FIG. 12.

FIG. 12 illustrates a flowchart 1200 of a method for self-calibratingthe dimensioner 102, according to one or more embodiments describedherein. At step 1202, the computing device 132 includes means such as,the first processor 202, the first calibration unit 208, and/or thelike, for causing first image capturing device 104 and the second imagecapturing device 108 to auto-focus. In an example embodiment, the firstcalibration unit 208 may cause the first image capturing device 104 andthe second image capturing device 108 to focus on the platform 120.Additionally or alternately, the first calibration unit 208 may causethe first image capturing device 104 and the second image capturingdevice 108 to focus on the object 116 and/or the at least one staticobject (e.g., the table 124). Further, the first calibration unit 208may be configured to store the updated focal length (i.e., the focallength after the auto focus operation is performed) of first imagecapturing device 104 and the second image capturing device 108 in thefirst memory device 204. Thereafter, the first calibration unit 208 maybe configured to perform the operation described in the flowchart 1100to modify the correlation between the projector 106 and the second imagecapturing device 108.

In an example embodiment, the first calibration unit 208 continues toiteratively modify the one or more parameters associated with thedimensioner 102 until the one or more updated dimensions of the at leastone static object is within the predefined dimension error range. Oncethe one or more updated dimensions of the at least one static object iswithin the predefined dimension error range, the dimensioner 102 isdetermined to be calibrated. Therefore, the computing device 132 causesthe dimensioner 102 to automatically detect whether the dimensioner 102is out of calibration, automatically re-calibrate the dimensioner 102without manual intervention, and, therefore, improve the overallproductivity of operations in the material handling environment 100.

In some examples, the scope of the disclosure is not limited to thecomputing device 132 causing the dimensioner 102 to calibrate anddetermine the one or more dimensions of the object 116. In an alternateembodiment, the functionalities of the computing device 132 may beimplemented in whole or in part by the dimensioner 102. In such anembodiment, the dimensioner 102 may have a structure, as is described inconjunction with FIG. 13.

FIG. 13 illustrates a block diagram 1300 of the dimensioner 102,according to one or more embodiments described herein. The dimensioner102 includes a second processor 1302, a second memory device 1302, asecond communication interface 1306, a second calibration unit 1308, asecond calibration validation unit 1310, a second dimensioning unit1312, and a second event detection unit 1314.

In an example embodiment, the second processor 1302, the second memorydevice 1304, the second communication device 1306, the secondcalibration unit 1308, the second calibration validation unit 1310, thesecond dimensioning unit 1312, the second event detection unit 1314, mayhave a similar structure and similar functionality as to the firstprocessor 202, the first memory device 204, the first communicationinterface 206, the first calibration unit 208, the first calibrationvalidation unit 210, the first dimensioning unit 212, and/or the firstevent detection unit 214, respectively.

For example, the second event detection unit 1314 may be configured todetect an event on the dimensioner 102. Thereafter, based on thedetection of the event on the dimensioner 102, the second calibrationunit 208 may be configured to perform the self-calibration operation onthe dimensioner 102, as is described in the flowchart 1000.

In some example embodiments, certain ones of the operations herein maybe modified or further amplified as described below. Moreover, in someembodiments additional optional operations may also be included. Itshould be appreciated that each of the modifications, optional additionsor amplifications described herein may be included with the operationsherein either alone or in combination with any others among the featuresdescribed herein.

The foregoing method descriptions and the process flow diagrams areprovided merely as illustrative examples and are not intended to requireor imply that the steps of the various embodiments must be performed inthe order presented. As will be appreciated by one of skill in the artthe order of steps in the foregoing embodiments may be performed in anyorder. Words such as “thereafter,” “then,” “next,” etc. are not intendedto limit the order of the steps; these words are simply used to guidethe reader through the description of the methods. Further, anyreference to claim elements in the singular, for example, using thearticles “a,” “an” or “the” is not to be construed as limiting theelement to the singular.

The hardware used to implement the various illustrative logics, logicalblocks, modules, and circuits described in connection with the aspectsdisclosed herein may include a general purpose processor, a digitalsignal processor (DSP), a special-purpose processor such as anapplication specific integrated circuit (ASIC) or a field programmablegate array (FPGA), a programmable logic device, discrete gate ortransistor logic, discrete hardware components, or any combinationthereof designed to perform the functions described herein. Ageneral-purpose processor may be a microprocessor, but, in thealternative, the processor may be any conventional processor,controller, microcontroller, or state machine. A processor may also beimplemented as a combination of computing devices, e.g., a combinationof a DSP and a microprocessor, a plurality of microprocessors, one ormore microprocessors in conjunction with a DSP core, or any other suchconfiguration. Alternatively or in addition, some steps or methods maybe performed by circuitry that is specific to a given function.

In one or more example embodiments, the functions described herein maybe implemented by special-purpose hardware or a combination of hardwareprogrammed by firmware or other software. In implementations relying onfirmware or other software, the functions may be performed as a resultof execution of one or more instructions stored on one or morenon-transitory computer-readable media and/or one or more non-transitoryprocessor-readable media. These instructions may be embodied by one ormore processor-executable software modules that reside on the one ormore non-transitory computer-readable or processor-readable storagemedia. Non-transitory computer-readable or processor-readable storagemedia may in this regard comprise any storage media that may be accessedby a computer or a processor. By way of example but not limitation, suchnon-transitory computer-readable or processor-readable media may includeRAM, ROM, EEPROM, FLASH memory, disk storage, magnetic storage devices,or the like. Disk storage, as used herein, includes compact disc (CD),laser disc, optical disc, digital versatile disc (DVD), floppy disk, andBlu-ray Disc™, or other storage devices that store data magnetically oroptically with lasers. Combinations of the above types of media are alsoincluded within the scope of the terms non-transitory computer-readableand processor-readable media. Additionally, any combination ofinstructions stored on the one or more non-transitory processor-readableor computer-readable media may be referred to herein as a computerprogram product.

Many modifications and other embodiments of the inventions set forthherein will come to mind to one skilled in the art to which theseinventions pertain having the benefit of teachings presented in theforegoing descriptions and the associated drawings. Although the figuresonly show certain components of the apparatus and systems describedherein, it is understood that various other components may be used inconjunction with the dimensioning. Therefore, it is to be understoodthat the inventions are not to be limited to the specific embodimentsdisclosed and that modifications and other embodiments are intended tobe included within the scope of the appended claims. Moreover, the stepsin the method described above may not necessarily occur in the orderdepicted in the accompanying diagrams, and in some cases one or more ofthe steps depicted may occur substantially simultaneously, or additionalsteps may be involved. Although specific terms are employed herein, theyare used in a generic and descriptive sense only and not for purposes oflimitation.

What is claimed is:
 1. A method for calibrating a dimensioner, themethod comprising: receiving, by a processor, two or more previouslycaptured images of a common field of view of the dimensioner;identifying, by the processor, at least one static object in the commonfield of view of the dimensioner, wherein the at least one static objectis common to each of the two or more previously captured images, andwherein the at least one static object is located at a fixed position ineach of the two or more previously captured images; determining, by theprocessor, one or more reference dimensions of the at least one staticobject based on the two or more previously captured images; detecting,by the processor, an event on the dimensioner; determining, by theprocessor, one or more updated dimensions of the at least one staticobject; comparing, by the processor, the one or more updated dimensionsto the one or more reference dimensions to determine if the one or moreupdated dimensions satisfy a predefined dimension error range; and in aninstance in which the one or more updated dimensions fail to satisfy thepredefined dimension error range, modifying, by the processor, one ormore parameters associated with the dimensioner.
 2. The method of claim1 further comprising iteratively modifying, by the processor, the one ormore parameters of the dimensioner and iteratively determining, by theprocessor, the one or more updated dimensions of the at least one staticobject based on the one or more modified parameters, until the one ormore updated dimensions of the at least one static object satisfy thepredefined dimension error range.
 3. The method of claim 1 whereinidentifying the at least one static object further comprisessubtracting, by the processor, the two or more previously capturedimages amongst each other to identify the at least one static object. 4.The method of claim 1 further comprising: causing, by the processor, afirst image capturing device of the dimensioner to capture a firstcurrent image of the common field of view of the dimensioner;subtracting, by the processor, the first current image of the commonfield of view from at least one of the two or more previously capturedimages to determine whether the at least one static object is present inthe first current image; in an instance in which the at least one staticobject is absent from the first current image, generating, by theprocessor, a first error notification indicative of the absence of theat least one static object in the first current image.
 5. The method ofclaim 1 further comprising: comparing, by the processor, the one or moreupdated dimensions of the at least one static object with the one ormore reference dimensions to determine an error in the one or moreupdated dimensions; and determining, by the processor, whether thedetermined error is within the predefined dimension error range.
 6. Themethod of claim 1 further comprising: causing, by the processor, aprojector of the dimensioner to project structured light in the commonfield of view comprising the at least one static object; causing, by theprocessor, a first image capturing device of the dimensioner to capturea first current image of the common field of view of the dimensioner;causing, by the processor, a second image capturing device of thedimensioner to capture a second current image of the common field ofview, based on the projected structured light; and determining, by theprocessor, the one or more updated dimensions of the at least one staticobject based on the first current image, the second current image, andthe one or more parameters associated with the dimensioner.
 7. Themethod of claim 1, wherein the one or more parameters of the dimensionercomprise at least one of a correlation between the projector and thesecond image capturing device, the focal length of the first imagecapturing device, or the focal length of the second image capturingdevice.
 8. The method of claim 1, wherein the detected event correspondsto at least one of elapsing of a predetermined time period, initiatingdetermination of one or more dimensions of an object, or powering on thedimensioner.
 9. A dimensioner comprising: a first image capturing deviceconfigured to capture a first current image of a common field of view ofthe dimensioner; a second image capturing device configured to capture asecond current image of the common field of view of the dimensioner; aprojector configured to project a pattern of structured light in thecommon field of view of the dimensioner, wherein the second currentimage is captured based on the projected pattern; a processorcommunicatively coupler with the first image capturing device and thesecond image capturing device, wherein the processor is configured to:receive two or more previously captured images of the common field ofview of the dimensioner; identify at least one static object in thecommon field of view of the dimensioner, wherein the at least one staticobject is common to each of the two or more previously captured images,and wherein the at least one static object is located at a fixedposition in each of the two or more previously captured images;determine one or more reference dimensions of the at least one staticobject based on the two or more previously captured images; detect anevent on the dimensioner; determine one or more updated dimensions ofthe at least one static object; compare the one or more updateddimensions to the one or more reference dimensions to determine if theone or more updated dimensions satisfy a predefined dimension errorrange; and in an instance in which the one or more updated dimensionsfail to satisfy the predefined dimension error range, modify one or moreparameters associated with the dimensioner.
 10. The dimensioner of claim9, wherein the processor is further configured to iteratively modify theone or more parameters of the dimensioner and iteratively determine theone or more updated dimensions of the at least one static object basedon the one or more modified parameters, until the one or more updateddimensions of the at least one static object satisfy the predefineddimension error range.
 11. The dimensioner of claim 9, wherein theprocessor is further configured to subtract the two or more previouslycaptured images amongst each other in order to identify the at least onestatic object.
 12. The dimensioner of claim 9, wherein the processor isfurther configured to: cause the first image capturing device to capturea first current image of the common field of view of the dimensioner;subtract the first current image of the common field of view from atleast one previously captured image of the two or more previouslycaptured images to determine whether the at least one static object ispresent in the first current image; in an instance in which the at leastone static object is absent from the first current image, generate afirst error notification indicative of the absence of the at least onestatic object in the first current image.
 13. The dimensioner of claim9, wherein the processor is configured to: compare the one or moreupdated dimensions of the at least one static object with the one ormore reference dimensions to determine an error in the one or moreupdated dimensions; and determine whether the determined error is withinthe predefined dimension error range.
 14. The dimensioner of claim 9,wherein the processor is further configured to: cause the projector toproject a pattern of structured light in the common field of viewcomprising the at least one static object; cause the first imagecapturing device to capture a first current image of the common field ofview; cause a second image capturing device to capture a second currentimage of the common field of view, based on the projected structuredlight; and determine the one or more updated dimensions of the at leastone static object based on the first current image, the second currentimage, and the one or more parameters associated with the dimensioner.15. The dimensioner of claim 9, wherein the one or more parameters ofthe dimensioner comprise at least the one of a correlation between theprojector and the second image capturing device, the focal length of thefirst image capturing device, or the focal length of the second imagecapturing device.
 16. The dimensioner of claim 9, wherein the detectedevent corresponds to at least one of elapsing of a predetermined timeperiod, initiating determination of one or more dimensions of an object,or powering on the dimensioner.
 17. The dimensioner of claim 9, furthercomprising one or more orientation sensors communicatively coupled tothe processor, wherein the processor is configured to: cause the one ormore orientation sensors to determine a current orientation of thedimensioner; determine whether the current orientation of thedimensioner exceeds a predetermined orientation threshold; and in aninstance in which the current orientation of the dimensioner exceeds thepredetermined orientation threshold, generate a first error notificationindicative of the change in the orientation of the dimensioner.